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临床试验/NCT06706609
NCT06706609尚未招募不适用

Classification of Adult-onset Diabetes in Five Subgroups in Pakistani Population

Getz Pharma0 个研究点目标入组 394 人开始时间: 2025年2月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
394
主要终点
Classify patients into data-driven clusters (e.g., severe insulin-deficient, severe insulin-resistant, mild obesity-related and mild age-related diabetes).

研究概览

简要总结

This study aims to classify adult-onset diabetes patients into distinct data-driven clusters, such as severe insulin-deficient, severe insulin-resistant, mild obesity-related, and mild age-related diabetes, based on clinical and biochemical characteristics. Using a cross-sectional design, data will be collected from individuals attending outpatient diabetes clinics at tertiary care hospitals in Pakistan. The study will analyze the distribution of metabolic and demographic characteristics within each cluster and assess subgroup-specific risks for diabetic complications. Additionally, the relationship between clustering variables and the risk of complications will be evaluated to enhance the understanding of diabetes heterogeneity and its impact on patient outcomes.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Cross Sectional

入排标准

年龄范围
16 Years 至 —(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients of both genders whose age of disease onset was older than 16 years
  • Patients newly diagnosed with or previously diagnosed with T2D
  • Able and willing to provide written informed consent and to comply with the study

排除标准

  • Patients with other medical comorbidities (not a complication of diabetes), such as malignancies.
  • Pregnancy

结局指标

主要结局

Classify patients into data-driven clusters (e.g., severe insulin-deficient, severe insulin-resistant, mild obesity-related and mild age-related diabetes).

时间窗: At the time of clinic visit during enrollment

次要结局

  • Analyze the distribution of metabolic and demographic characteristics within each cluster.(At the time of clinic visit during enrollment)
  • • Assess subgroup-specific risks for diabetic macrovascular complications such as CVD, Stroke/TIA, and microvascular complications such as nephropathy, retinopathy, peripheral and autonomic neuropathy(At the time of clinic visit during enrollment)
  • Evaluate the relationship between clustering variables and complications.(At the time of clinic visit during enrollment)

研究者

发起方
Getz Pharma
申办方类型
Industry
责任方
Sponsor

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